Local IFC/BIM MCP server with IfcOpenShell Python in Pyodide and an IFC viewer.
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io.github.flinker-app/ifc-mcp is an MCP server that local IFC/BIM MCP server with IfcOpenShell Python in Pyodide and an IFC viewer. Its tool list has not been published yet over stdio and http, requires no API key, and scores 86/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"ifc-mcp": {
"args": [
"-y",
"ifc-mcp"
],
"command": "npx"
}
}
}Are you the author?
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IFC MCP lets your AI assistant inspect IFC/BIM files, create IFC files, create reports, open IFC models in a viewer, and apply BCF viewpoints.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'ifc-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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No known CVEs.
Checked ifc-mcp against OSV.dev.
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IFC MCP lets your AI assistant inspect IFC/BIM files, create IFC files, create reports, open IFC models in a viewer, and apply BCF viewpoints.
After installation, ask your AI client in normal language. The AI client starts IFC MCP when it needs the IFC tools and sends your request to the local server. IFC MCP reads IFC files locally, runs the needed IFC logic in a local Pyodide runtime with IfcOpenShell, and returns the answer to the chat.
Good example prompts:
Open examples/sample.ifc and summarize the model.Count the walls, doors, windows, spaces, and property sets in examples/sample.ifc.Find missing names, classifications, and suspicious property values in this IFC file.Create a CSV room-area report from this IFC file.Create a simple IFC file with one building, one storey, and four walls.Open the IFC viewer and show examples/sample.ifc.Apply C:\path\to\viewpoint.bcfzip in the open IFC viewer.Clear the IFC viewer.If IFC MCP creates a report, BCF file, or new IFC file, it returns a local download link. If you ask to view a model, IFC MCP opens a local viewer link. If your AI client does not open that link automatically, open it in your browser.
Install Node.js 18.20 or newer from the official Node.js download page. Choose the LTS version for your operating system, run the installer, then reopen the app where you want to use IFC MCP.
IFC MCP uses npx, which is included with Node.js. If your app later says
node or npx is not found, reinstall Node.js LTS and reopen the app.
ChatGPT desktop supports local MCP servers over STDIO.
Settings.Plugins, then MCPs.Add. If prompted for a server type, choose STDIO.ifc-mcpnpx-yifc-mcp/mcp, and confirm that ifc-mcp is connected.For more detail, see OpenAI's MCP documentation.
Option 1: Use the Claude Desktop UI
Settings.Developer or Desktop app developer settings.Edit Config if that button is available. This opens the Claude
Desktop MCP config file.{
"mcpServers": {
"ifc-mcp": {
"command": "npx",
"args": ["-y", "ifc-mcp"]
}
}
}
If the file already contains JSON, add only the ifc-mcp entry inside the
existing mcpServers object. Do not create a second mcpServers object.
Option 2: Open the config file directly
Use this only if you do not see Edit Config in Claude Desktop:
%APPDATA%\Claude\claude_desktop_config.json~/Library/Application Support/Claude/claude_desktop_config.jsonPaste the same JSON from Option 1, save the file, then fully quit and reopen Claude Desktop.
Check
To check the setup, open Claude Desktop, start a new chat, click the + button
near the chat box, and look for Connectors. IFC MCP should appear there after
Claude Desktop has restarted. You should see the tools listed in the
How It Works section above.
For more detail, see Claude's [local MCP server guide](https://support.claude.com/en/articles/10949351-getting-started-with-local-mcp-servers-on-claude-desktop